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Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA

Lee, DongSeop, Gonzalez, Luis F., & Periaux, Jacques (2012) Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA. In Abbass, Hussein (Ed.) Proceedings of the IEEE World Congress on Computational Intelligence 2012, IEEE, Brisbane, QLD, pp. 1-8.

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Abstract

The paper investigates two advanced Computational Intelligence Systems (CIS) for a morphing Unmanned Aerial Vehicle (UAV) aerofoil/wing shape design optimisation. The first CIS uses Genetic Algorithm (GA) and the second CIS uses Hybridized GA (HGA) with the concept of Nash-Equilibrium to speed up the optimisation process. During the optimisation, Nash-Game will act as a pre-conditioner. Both CISs; GA and HGA, are based on Pareto optimality and they are coupled to Euler based Computational Fluid Dynamic (CFD) analyser and one type of Computer Aided Design (CAD) system during the optimisation.

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ID Code: 52969
Item Type: Conference Paper
Keywords: Shape design optimisation, Hybrid-game, Nash equilibrium, Evolutionary algorithm, Active flow control, Morphing aerofoil/wing
DOI: 10.1109/CEC.2012.6256429
ISBN: 9781467315098
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 IEEE
Copyright Statement: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
Deposited On: 08 Aug 2012 09:31
Last Modified: 13 Jun 2013 01:05

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